A Method for Identifying Inconsistencies between Functional Safety and Cybersecurity of Autonomous Vehicles
Résumé
With the shift towards assisted and autonomous driving, more functional safety and security features are being integrated to make these systems dependable, safe, and secure. Additional safety and security features lead to increasing interdependencies and inconsistencies between them. In this paper, we propose a method to detect inconsistencies between safety and security by assessing the potential impact of security features on
safety-critical components of a system. For the assessment, we analyze artifacts from the Failure Mode and Effects Analysis and SysML models of the overall system. We apply our method to an example, i.e. we evaluate whether the security feature secure onboard communication (AUTOSAR SecOC) could potentially cause a failure of the safety-critical communication. Our method identifies potential interactions between safety-critical components and security features by reusing available functional safety and security artifacts generated as a part of their independent analyses
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